Master's Degree in Bioinformatics in Ohrid in Macedonia

Search Masters Programs in Bioinformatics 2018/2019 in Ohrid in Macedonia

Bioinformatics

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

Bioinformatics concerns the application of computer-based approaches to the understanding of biological processes. The technology of today gives us high-capacity analysis of genes and proteins which make it necessary to integrate informatics when solving biological problems.

Macedonia, officially the Republic of Macedonia, is a country located in the central Balkan peninsula in Southeast Europe. It is one of the successor states of the former Yugoslavia, from which it declared independence in 1991.

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Master Degree in Computational Biology

University For Information Science And Technology
Campus Full time 2 years September 2019 Macedonia Ohrid

Computational biology is one of the most exciting areas of modern science. With the latest technological advancements, molecular biology and related fields approach information sciences, algorithms, computer tools and analysis of massive databases. [+]

Master Degree in Computational Biology Introduction

Computational biology is one of the most exciting areas of modern science. With the latest technological advancements, molecular biology and related fields approach information sciences, algorithms, computer tools and analysis of massive databases. Individual medicine becomes a reality. The constant stream of new technologies, new data and new insights guarantees vibrant and satisfying future research, and creates continuous professional opportunities in the industry and academia.

Computational biology is a scientific discipline that refers to the use of computers to perform automated analysis of the data or to model hypotheses in the field of biology. Through computational biology researchers apply mathematics on biological phenomena using computer programming and algorithms in order to model the phenomenon, and thus statistically process data and interpret information.... [-]